Intelligent-Control-Systems-Course-Curriculum

Versione 1.0.1 (23,1 MB) da Claudia Fernanda Yasar
This package introduces MATLAB Live Scripts for the Intelligent Control Systems Curriculum. Includes model-based vs. data-driven control
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Aggiornato 15 nov 2024
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Cita come

Claudia Fernanda Yasar (2024). Intelligent-Control-Systems-Course-Curriculum (https://github.com/ClaudiaYasar/Intelligent-Control-Systems-Course-Curriculum), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2022b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

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9. Python-and-MATLAB-RNN-LSTM-Model-for-Prediction-and-Forecast

10. Model Predictive Control for DC Motor Positioning

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12. Extremum-Seeking-Control-Mass-Spring-Damper-System

13. DC-Motor-Position-with-Fuzzy-Logic-Control

2. DC-Motor-Dynamics-Modeling-and-Position-Control

3. Single-Heater-Response

1.Computational_Thinking_Tools

10. Model Predictive Control for DC Motor Positioning

11. Model-Reference-Adaptive-Control

12. Extremum-Seeking-Control-Mass-Spring-Damper-System

13. DC-Motor-Position-with-Fuzzy-Logic-Control

2. DC-Motor-Dynamics-Modeling-and-Position-Control

3. Single-Heater-Response

4. First-Order-Plus-Dead-Time-Models

5. Coastline-Prediction-Using-Climate-Change-Models

6. Semi-Empirical-Model-Estimation-Regression

7. Machine-Learning-Classification-with-Experiments

8. Deep Learning and Yolov2 for Object Classification

9. Python-and-MATLAB-RNN-LSTM-Model-for-Prediction-and-Forecast

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.0.1

NA
1.0.0

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